Letters to the Editor

A Use Case for Generative AI in Medical Education

Tejas C Sekhar, Yash R Nayak, Emily A Abdoler

JMIR Med Educ 2024 (Jun 07); 10:e56117

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Authors’ Reply: A Use Case for Generative AI in Medical Education

Tricia Pendergrast, Zachary Chalmers

JMIR Med Educ 2024 (Jun 07); 10:e58370

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Digital Skills to Improve Levels of Care and Renew Health Care Professions

Massimo De Martinis, Lia Ginaldi

JMIR Med Educ 2024 (May 01); 10:e58743

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A Student’s Viewpoint on ChatGPT Use and Automation Bias in Medical Education

Jeanne Maria Dsouza

JMIR Med Educ 2024 (Apr 15); 10:e57696

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Authors’ Response to the Validity of Cortisol and Galvanic Skin Responses for Measuring Student Stress During Training

Shannon Toohey, Alisa Wray, John Hunter, Soheil Saadat, Megan Boysen-Osborn, Jonathan Smart, Warren Wiechmann, Sarah D Pressman

JMIR Med Educ 2023 (Aug 18); 9:e50902

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How Valid Are Cortisol and Galvanic Skin Responses in Measuring Student Stress During Training? Comment on the Psychological Effects of Simulation Training

Urvi Sonawane, Pragna Kasetti

JMIR Med Educ 2023 (Aug 18); 9:e45340

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Authors’ Reply to: Additional Considerations for US Residency Selection After Pass/Fail USMLE Step 1. Comment on “The US Residency Selection Process After the United States Medical Licensing Examination Step 1 Pass/Fail Change: Overview for Applicants and Educators”

Ahmad Ozair, Vivek Bhat, Donald K E Detchou

JMIR Med Educ 2023 (Aug 17); 9:e50109

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Additional Considerations for US Residency Selection After Pass/Fail USMLE Step 1. Comment on “The US Residency Selection Process After the United States Medical Licensing Examination Step 1 Pass/Fail Change: Overview for Applicants and Educators”

Yacine Sow, Ameya Gangal, Howa Yeung, Travis Blalock, Benjamin Stoff

JMIR Med Educ 2023 (Aug 17); 9:e47763

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Authors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations

Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash

JMIR Med Educ 2023 (Jul 13); 9:e50336

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Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations. Comment on “How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment”

Richard H Epstein, Franklin Dexter

JMIR Med Educ 2023 (Jul 13); 9:e48305

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ChatGPT in Clinical Toxicology

Mary Sabry Abdel-Messih, Maged N Kamel Boulos

JMIR Med Educ 2023 (Mar 08); 9:e46876

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Authors’ Reply to: Techniques to Teach Students Effectively Using Telemedicine. Comment on “Incorporating Medical Students Into Primary Care Telehealth Visits: Tutorial”

Aanika Balaji, Sarah Lou Clever

JMIR Med Educ 2022 (Mar 11); 8(1):e37401

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Techniques to Teach Students Effectively Using Telemedicine. Comment on “Incorporating Medical Students Into Primary Care Telehealth Visits: Tutorial”

Hardeep Kandola, Sonica Minhas

JMIR Med Educ 2022 (Mar 11); 8(1):e30703

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Innovation and Inequality: A Medical Student Perspective. Comment on "The Present and Future Applications of Technology in Adapting Medical Education Amidst the COVID-19 Pandemic"

Myat Pan, Myat San

JMIR Med Educ 2021 (Oct 04); 7(4):e26790

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Author’s Reply to: Virtual vs Online: Insight From Medical Students. Comment on “Effectiveness of Virtual Medical Teaching During the COVID-19 Crisis: Systematic Review”

Robyn-Jenia Wilcha

JMIR Med Educ 2021 (May 14); 7(2):e29335

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Virtual vs Online: Insight From Medical Students. Comment on “Effectiveness of Virtual Medical Teaching During the COVID-19 Crisis: Systematic Review”

Shahil Kaini, Lucinda Zahrah Motie

JMIR Med Educ 2021 (May 14); 7(2):e27020

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Medical Students Respond: Question Precision and Gender Differentiation. Comment on “Understanding Medical Students’ Attitudes Toward Learning eHealth: Questionnaire Study”

Ahmad Almohtadi, Minh Van, Golnoush Seyedzenouzi

JMIR Med Educ 2021 (Feb 11); 7(1):e24993

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